{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T02:29:25Z","timestamp":1777429765959,"version":"3.51.4"},"reference-count":45,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T00:00:00Z","timestamp":1634169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Union; Europees Fonds voor Regionale Ontwikkeling (EFRO), Operationeel Programma Oost (OP Oost)","award":["PROJ-00872"],"award-info":[{"award-number":["PROJ-00872"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Current developments towards multipin, dry electrodes in electroencephalography (EEG) are promising for applications in non-laboratory environments. Dry electrodes do not require the application of conductive gel, which mostly confines the use of gel EEG systems to the laboratory environment. The aim of this study is to validate soft, multipin, dry EEG electrodes by comparing their performance to conventional gel EEG electrodes. Fifteen healthy volunteers performed three tasks, with a 32-channel gel EEG system and a 32-channel dry EEG system: the 40 Hz Auditory Steady-State Response (ASSR), the checkerboard paradigm, and an eyes open\/closed task. Within-subject analyses were performed to compare the signal quality in the time, frequency, and spatial domains. The results showed strong similarities between the two systems in the time and frequency domains, with strong correlations of the visual (\u03c1 = 0.89) and auditory evoked potential (\u03c1 = 0.81), and moderate to strong correlations for the alpha band during eye closure (\u03c1 = 0.81\u20130.86) and the 40 Hz-ASSR power (\u03c1 = 0.66\u20130.72), respectively. However, delta and theta band power was significantly increased, and the signal-to-noise ratio was significantly decreased for the dry EEG system. Topographical distributions were comparable for both systems. Moreover, the application time of the dry EEG system was significantly shorter (8 min). It can be concluded that the soft, multipin dry EEG system can be used in brain activity research with similar accuracy as conventional gel electrodes.<\/jats:p>","DOI":"10.3390\/s21206827","type":"journal-article","created":{"date-parts":[[2021,10,14]],"date-time":"2021-10-14T23:02:16Z","timestamp":1634252536000},"page":"6827","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Validation of Soft Multipin Dry EEG Electrodes"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5354-881X","authenticated-orcid":false,"given":"Janne J.A.","family":"Heijs","sequence":"first","affiliation":[{"name":"TechMed Centre, Department of Biomedical Signals and Systems, University of Twente, 7522 NB Enschede, The Netherlands"}]},{"given":"Ruben Jan","family":"Havelaar","sequence":"additional","affiliation":[{"name":"Donders Centre for Neuroscience, Department of Biophysics, Radboud University, 6525 AJ Nijmegen, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9196-0717","authenticated-orcid":false,"given":"Patrique","family":"Fiedler","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Engineering and Informatics, Technische Universit\u00e4t Ilmenau, 98693 Ilmenau, Germany"}]},{"given":"Richard J.A.","family":"van Wezel","sequence":"additional","affiliation":[{"name":"TechMed Centre, Department of Biomedical Signals and Systems, University of Twente, 7522 NB Enschede, The Netherlands"},{"name":"Donders Centre for Neuroscience, Department of Biophysics, Radboud University, 6525 AJ Nijmegen, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8382-6291","authenticated-orcid":false,"given":"Tjitske","family":"Heida","sequence":"additional","affiliation":[{"name":"TechMed Centre, Department of Biomedical Signals and Systems, University of Twente, 7522 NB Enschede, The Netherlands"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1111\/psyp.12283","article-title":"The neurophysiological bases of EEG and EEG measurement: A review for the rest of us","volume":"51","author":"Jackson","year":"2014","journal-title":"Psychophysiology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.neucli.2018.10.004","article-title":"Brain imaging of locomotion in neurological conditions","volume":"48","author":"Allali","year":"2018","journal-title":"Neurophysiol. Clin."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.clinph.2018.11.013","article-title":"Impairment of brain functions in Parkinson\u2019s disease reflected by alterations in neural connectivity in EEG studies: A viewpoint","volume":"130","author":"Rektor","year":"2019","journal-title":"Clin. Neurophysiol."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Hussain, I., and Park, S.J. (2021). Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke. Brain Sci., 11.","DOI":"10.3390\/brainsci11070900"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"14","DOI":"10.3389\/fnhum.2018.00014","article-title":"EEG-Based Brain-Computer Interfaces for Communication and Rehabilitation of People with Motor Impairment: A Novel Approach of the 21 (st) Century","volume":"12","author":"Lazarou","year":"2018","journal-title":"Front. Hum. Neurosci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"011001","DOI":"10.1088\/1741-2552\/aaf12e","article-title":"A comprehensive review of EEG-based brain-computer interface paradigms","volume":"16","author":"Abiri","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"ii2","DOI":"10.1136\/jnnp.2005.069245","article-title":"EEG in the diagnosis, classification, and management of patients with epilepsy","volume":"76","author":"Smith","year":"2005","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"371","DOI":"10.31887\/DCNS.2003.5.4\/vabad","article-title":"Diagnosis and treatment of sleep disorders: A brief review for clinicians","volume":"5","author":"Abad","year":"2003","journal-title":"Dialogues Clin. Neurosci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"12847","DOI":"10.3390\/s140712847","article-title":"Dry EEG electrodes","volume":"14","year":"2014","journal-title":"Sensors"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Di Flumeri, G., Arico, P., Borghini, G., Sciaraffa, N., Di Florio, A., and Babiloni, F. (2019). The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability. Sensors, 19.","DOI":"10.3390\/s19061365"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1007\/s10548-015-0435-5","article-title":"Novel Multipin Electrode Cap System for Dry Electroencephalography","volume":"28","author":"Fiedler","year":"2015","journal-title":"Brain Topogr."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"982","DOI":"10.3389\/fnins.2019.00982","article-title":"Dry EEG in Sports Sciences: A Fast and Reliable Tool to Assess Individual Alpha Peak Frequency Changes Induced by Physical Effort","volume":"13","author":"Fiedler","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.neuroimage.2018.09.012","article-title":"Systematic comparison between a wireless EEG system with dry electrodes and a wired EEG system with wet electrodes","volume":"184","author":"Kam","year":"2019","journal-title":"Neuroimage"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5218","DOI":"10.1038\/s41598-020-62154-0","article-title":"Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications","volume":"10","author":"Hinrichs","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/TBME.2010.2102353","article-title":"Novel dry polymer foam electrodes for long-term EEG measurement","volume":"58","author":"Lin","year":"2011","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1553","DOI":"10.1109\/JPROC.2012.2184829","article-title":"Biosensor technologies for augmented brain-computer interfaces in the next decades","volume":"100","author":"Liao","year":"2012","journal-title":"Proc. IEEE"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1111\/psyp.12536","article-title":"High and dry? Comparing active dry EEG electrodes to active and passive wet electrodes","volume":"54","author":"Mathewson","year":"2017","journal-title":"Psychophysiology"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"23758","DOI":"10.3390\/s141223758","article-title":"Soft, comfortable polymer dry electrodes for high quality ECG and EEG recording","volume":"14","author":"Chen","year":"2014","journal-title":"Sensors"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"188","DOI":"10.3389\/fnhum.2016.00188","article-title":"Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World Measurements","volume":"10","author":"Oliveira","year":"2016","journal-title":"Front. Hum. Neurosci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TNSRE.2011.2174652","article-title":"Dry and noncontact EEG sensors for mobile brain-computer interfaces","volume":"20","author":"Chi","year":"2012","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1109\/TNSRE.2018.2811752","article-title":"Contact Pressure and Flexibility of Multipin Dry EEG Electrodes","volume":"26","author":"Fiedler","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Fiedler, P., Strohmeier, D., Hunold, A., Griebel, S., Muhle, R., Schreiber, M., Pedrosa, P., Vasconcelos, B., Fonseca, C., and Vaz, F. (2016, January 16\u201320). Modular multipin electrodes for comfortable dry EEG. Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, USA.","DOI":"10.1109\/EMBC.2016.7592022"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1136\/jnnp-2016-314791","article-title":"Clinical evoked potentials in neurology: A review of techniques and indications","volume":"88","author":"Lascano","year":"2017","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10633-016-9553-y","article-title":"ISCEV standard for clinical visual evoked potentials: (2016 update)","volume":"133","author":"Odom","year":"2016","journal-title":"Doc. Ophthalmol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"177","DOI":"10.3109\/14992020309101316","article-title":"Human auditory steady-state responses","volume":"42","author":"Picton","year":"2003","journal-title":"Int. J. Audiol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"140","DOI":"10.3766\/jaaa.16.3.3","article-title":"Estimating audiometric thresholds using auditory steady-state responses","volume":"16","author":"Picton","year":"2005","journal-title":"J. Am. Acad. Audiol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/B978-0-7020-5307-8.00006-5","article-title":"The auditory steady-state response (ASSR): A translational biomarker for schizophrenia","volume":"62","author":"Vohs","year":"2013","journal-title":"Suppl. Clin. Neurophysiol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"146","DOI":"10.3766\/jaaa.23.3.3","article-title":"Auditory steady-state responses","volume":"23","author":"Korczak","year":"2012","journal-title":"J. Am. Acad. Audiol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s00422-005-0547-1","article-title":"The physical basis of alpha waves in the electroencephalogram and the origin of the \u201cBerger effect\u201d","volume":"92","author":"Kirschfeld","year":"2005","journal-title":"Biol. Cybern."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1163\/156856897X00357","article-title":"The Psychophysics Toolbox","volume":"10","author":"Brainard","year":"1997","journal-title":"Spat. Vis."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Shahid, A. (2012). Stop, That and One Hundred Other Sleep Scales, Springer.","DOI":"10.1007\/978-1-4419-9893-4"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"29","DOI":"10.3109\/00207459008994241","article-title":"Subjective and objective sleepiness in the active individual","volume":"52","author":"Akerstedt","year":"1990","journal-title":"Int. J. Neurosci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.jneumeth.2015.02.025","article-title":"A practical guide to the selection of independent components of the electroencephalogram for artifact correction","volume":"250","author":"Chaumon","year":"2015","journal-title":"J. Neurosci. Methods"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/BF01128870","article-title":"Global field power and topographic similarity","volume":"3","author":"Skrandies","year":"1990","journal-title":"Brain Topogr."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"117962","DOI":"10.1016\/j.neuroimage.2021.117962","article-title":"Auditory steady-state responses during and after a stimulus: Cortical sources, and the influence of attention and musicality","volume":"233","author":"Manting","year":"2021","journal-title":"Neuroimage"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Cohen, M.X. (2014). Analyzing Neural Time Series Data: Theory and Practice, The MIT Press.","DOI":"10.7551\/mitpress\/9609.001.0001"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jneumeth.2007.03.024","article-title":"Nonparametric statistical testing of EEG- and MEG-data","volume":"164","author":"Maris","year":"2007","journal-title":"J. Neurosci. Methods"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1088\/0967-3334\/36\/7\/1469","article-title":"Measurement of neural signals from inexpensive, wireless and dry EEG systems","volume":"36","author":"Grummett","year":"2015","journal-title":"Physiol. Meas."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Graichen, U., Eichardt, R., Fiedler, P., Strohmeier, D., Zanow, F., and Haueisen, J. (2015). SPHARA\u2014A generalized spatial Fourier analysis for multi-sensor systems with non-uniformly arranged sensors: Application to EEG. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0121741"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Jacobsen, N.S.J., Blum, S., Witt, K., and Debener, S. (2020). A walk in the park? Characterizing gait-related artifacts in mobile EEG recordings. Eur. J. Neurosci.","DOI":"10.1111\/ejn.14965"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"e4380","DOI":"10.7717\/peerj.4380","article-title":"A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings","volume":"6","author":"Tamburro","year":"2018","journal-title":"PeerJ"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2553","DOI":"10.1109\/TBME.2015.2481482","article-title":"Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG","volume":"62","author":"Mullen","year":"2015","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_44","first-page":"16","article-title":"The PREP pipeline: Standardized preprocessing for large-scale EEG analysis","volume":"9","author":"Mullen","year":"2015","journal-title":"Front. Neuroinform."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"314","DOI":"10.3389\/fnhum.2017.00314","article-title":"Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking","volume":"11","author":"Yokota","year":"2017","journal-title":"Front. Hum. Neurosci."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6827\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:14:27Z","timestamp":1760166867000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/20\/6827"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,14]]},"references-count":45,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["s21206827"],"URL":"https:\/\/doi.org\/10.3390\/s21206827","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,14]]}}}